Cloud Data Engineering Professional
3 weeks ago
Company Overview
BayOne Solutions is a 12-year-old software consulting organization based in Pleasanton, California, US. We specialize in providing talent and solutions, with a passion for diversity in tech.
We help companies build teams by finding leaders and team players who are experts in their domains and fit in the company culture.
About Us
Our areas of expertise include:
- Project & Program Management
- Cloud Computing & IT Infrastructure Management
- Big Data Services
- Software & Quality Engineering
- User Experience Design
Job Description
We are looking for a highly skilled Cloud Data Engineer to join our team. As a key member of our cloud data engineering team, you will be responsible for designing, building, and maintaining large-scale cloud-based data platforms.
Salary Estimate
The estimated salary for this position is between ₹1,500,000 - ₹2,500,000 per annum, depending on experience and qualifications.
Required Skills and Qualifications
- Minimum 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks etc.
- Azure experience is preferred over other cloud platforms.
- 5 years of proven experience with SQL, schema design, and dimensional data modelling
- Solid knowledge of data warehouse best practices, development standards, and methodologies
- Experience with ETL/ELT tools like ADF, Informatica, Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift, Snowflake, Google Big Query etc.
- Strong experience with big data tools (Databricks, Spark etc..) and programming skills in PySpark and Spark SQL.
- Be an independent self-learner with a 'let's get this done' approach and ability to work in a fast-paced and dynamic environment.
- Excellent communication and teamwork abilities.
Nice-to-Have Skills
- Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge.
- SAP ECC /S/4 and Hana knowledge.
- Intermediate knowledge on Power BI Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes
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